LU Code : TR 402

Title : Advanced Simultaneous Translation

Level : 4

Credit Hours/Points: 3

Prerequisite: TR 400

Aims:

This module aims to have students grasp the fundamental concepts and techniques common to simultaneous interpretation, apply the skills and techniques of simultaneous interpretation and interpret in the simultaneous mode on general and semi-specialized topics. Over a period of 14 weeks, besides theoretical lecturing, students are exposed to hands-on experience of simultaneous and conference interpretation, through simulations.

The content of the module will comprise the following:

- Public speaking for interpretation purposes

- Listening comprehension

- Exercises in simultaneous interpretation on general and semi-specialized topics.

- Practical Mock Conference interpretation

Learning Outcomes:

Knowledge:

By the end of this module students are expected to demonstrate;

- Understanding of the nature of the work environment, its ethics and protocols.

- Understanding of the physical as well as mental skills required

Skills:

By the end of this module students are expected to demonstrate;

- Further advanced translation skills

- Enhanced language skills

- Adjustment to the work place: composure and confidence under stressful conditions

Learning Materials:

Language and Translation lab

Simulations

Software: TRADOS Translator’s Solution – TMS – TM and An-Nakel – Adobe Audition

Also recordings from regional and local conferences will be used- A Dictionary of Modern Written Arabic by –

References:

-Hans Wehr (Arabic –English) Edited by J. Milton Cowan.

- A Dictionary of Diplomacy & International Affairs ( English-French-Arabic) by Samouhi fawq El'Adah. Published by Librairie du Liban.

- A Dictionary of Modern Political Idioms ( English-French-Arabic) by Magdi Wahba & Wagdi Ghali.

- Baker M. (ed.) 1997 Routledge Encyclopedia of Translation Studies. ( London: Routledge).

- Basil H. 2001 Teaching and Resarching Translation. ( Essex: Pearson Education).

- Bassnett S 1980/2002 Translation Studies. ( London:Routledge).

- Baily M (ed.) 1997 The Proceure of The Security Council (3ed). (Oxford: Oxford Press).

- Simons S. 2002 Targeting Iraq: Sanctions and Bombing in U.S. Policy. ( London: Saqi Books).

- --------- 1996 Gender in Translation: Cultural Identity and the Politics of Translation. ( London: Routledge).

- Verschueren J. 1999 Understanding Pragmatics. (London: Arnold)

- Vincent A. (ed.) 1997 Political Theory: Tradition and Diversity. (Cambridge: Cambridge University Press).

_ Los Angeles Chinese Learning Center "Memory Training in Interpreting". Retrieved from www.chinese-school.netfirms.com on 15/9/2011.

-"Language Interpretation". Retrieved from www.wikipedia.org/wiki/Language_interpretation

on 15/9/2011

محمد عناني . نظرية الترجمة الحديثة : مدخل لمبحث دراسات الترجمة. القاهرة, لونجمان (2003).

محمد عناني . مرشد المترجم. القاهرة, لونجمان (2001).

Assessment Scheme:

Students sit a 90 minute mid term exam and a 3 hour final exam. Course work includes oral presentations, analysis and review of peer/other taped simultaneous translation practice, and a final project of live translation practice in a chosen organization.

Assessment Pattern:

Mid term Exam: 20 %

Final exam: 30 %

Coursework: 50%

Learning Unit Contact Hours Per-Week:

Workshops: 90 minutes

Oral Presentations: 3 hours

Total contact hours per semester: 42 hours

Total other study hours per semester: 21 hours

Total study hours per semester: 63 hours

Module Leader:

AIMS The course addresses the problem of how to secure computer systems, networks, and data from unauthorized or accidental access, modification, and denial of service. It covers topics on formal definitions of security, privacy, and integrity; risk assessment and management; information theory; information flow and covert channels; coding and cryptology. Moreover, authentication methods, capabilities, access lists, and protection domains; standards; malicious software (viruses, logic bombs) legal factors; database and inference control; security kernels and verification methods are covered. LEARNING OUTCOMES Knowledge On completion of this module, the successful student will be able to: • Appraise the different level of computer threats. • Differentiate between security privacy and integrity. • Characterize ciphering and cryptology. • Illustrate the concepts of digital signature and Public or Private Key. • Discriminate between different authentication methods used for access control in computer systems based on their capabilities and protection domain. Skills This module will call for the successful student to demonstrate: • Identify security threats in a computer system or network. • Implement digital signature and Public or Private Key. • Apply key management techniques. • Propose and apply and evaluate security, privacy and integrity policies for a system. • Choose and implement the appropriate ciphering and cryptographic techniques. • Implement different authentication methods. SYLLABUS • Overview of Cryptography. • Mathematics Background. • Number-Theoretic Reference Problems. • Public-Key Parameters. • Pseudorandom Bits and Sequences. • Stream Ciphers. • Block Ciphers. • Public-Key Encryption. • Hash Functions and Data Integrity. • Identification and Entity Authentication. • Digital Signatures • Key Establishment Protocols. • Key Management Techniques. • Efficient Implementation. • Patents and Standards. TEACHING/LEARNING STRATEGIES • Weekly lectures to introduce the basic concepts of the course subjects. • Weekly tutorials to discuss the solution of the weekly homework assignments. • Weekly computer laboratory to develop programs implementing the different techniques discussed in the course. • Team Projects The student will work as a member of project team to apply the concepts learned in the course to real world problems. • Class presentations the student will be assigned a specific subject to investigate in depth and make a presentation on it in class. Assessment Scheme • Unseen Examinations 60 % • Coursework 40% LEARNING MATERIALS Network and Internet security by Vijay Ahuja, Academic Press Limited

The Graduation Project is designed to give the student the industry experience of working as part of a group of programmers or computer professionals developing a large IT project which could be an application software, Information System, hardware design, network design, etc.

 AIM 

The aim of the graduation project is to allow the student to work individually and with a group to acquire new knowledge independently and apply the knowledge and skills he learned in a real life project. 

The subject of the project is chosen such that it exposes the student to real world problems with realistic requirements. It is expected the project will be completed successfully, to be bug free, run without error and produce the predefined outcomes before the students graduate.

The graduation project is a two-semester course running for the whole of the final year, and is worth 6 credit hours.

The Graduation Project is designed to give the student the industry experience of working as part of a group of programmers or computer professionals developing an IT project.

The aim of the graduation project is to allow the student to work individually and with a group to acquire new knowledge independently and apply the knowledge and skills he learned in a real life project such as: systems, prototypes, embedded systems, network based systems,games, application software,  etc.

GP is a two courses project (CS405 and CS406) taken in two successive semesters, in the first course, the student chooses a project subject, and prepares the project proposal including the detailed objective expected outcome. They also do the literature search and the design work for the project. They should present the project interim report at the end of the semester.

A complete description of the project requirement, procedures, and assessment scheme is detailed in the MSA Graduation Project Handbook.

This module introduces the field of human computer interaction with emphasis on its impact on software design. It provides the student with theories and models of the way users think and work to guide the students to best design the interface to suite users’ preferences. It provides an understanding of the underlying processes of human perception, information processing, and demonstrates their relevance to user interface design. Students will learn how to apply mechanisms such as feedback, user support, navigation aids and good screen design in constructing interface designs that match users' needs. Students will also learn techniques for evaluating user interface designs that are grounded in theory.

This course is intended to be a pre-university course. It has been designed for the sake of helping the students -who did not pass the ELAT Exam (category1), improve their English in terms of language systems and skills.

By the end of this course, the students should be able to:

Knowledge and Understanding

-       Understand oral and written texts on different topics in English

-       Recognize different rules of grammar and pronunciation for accurate oral and written production

-       Identify different language functions

-       Reproduce information at word, sentence and text levels

Intellectual Skills

-          Listen to spoken language of different types for the sake of fulfilling simple tasks

-          Present basic information in a clear and accurate way

-          Express feelings and opinions on familiar topics using appropriate language functions

-          Engage in simple exchanges with a partner(s)

-          Read different types of texts using suitable strategies in relation to general understanding as well as text lexical and grammatical structure (parts of speech, clauses and phrases, basic sentence types, as well as sentence expansion by subordination and coordination).

-          Write different types of texts (online advice, advert/notice, notes and messages, a true story, email, a description, a CV and a paragraph) with an insistence on sentence modes (SVO, SVC, SV (M), ACTIVE vs. Passive..).

    Practical Skills

-          Classify relationships in terms of omissions, parts, organization and structure for the sake of comprehending English at word, sentence and text level through active listening and reading

-          Communicate their ideas and opinions efficiently in oral/ written modes

General and Transferable Skills

-       Apply the concepts and skills gained in this course to increase their awareness of English as a language whilst using it in their future academic studies.

In this module, students will develop a critical appreciation of the basic concepts and techniques of marketing management and strategy with an emphasis on creating customer value and building customer relationships. The module aims to provide the students with the skills necessary for marketing decision-making through illustrating how various decision-making tools apply to actual business situations.

AIMS This course introduces the fundamentals of neural networks, basic philosophy of neural network architectures and its relation to practical problems such as image and speech processing. It introduces the association techniques, classification and clustering. It illustrates the concepts of building, training and testing a neural network. LEARNING OUTCOMES Knowledge On completion of this module, the successful student will be able to: • Appreciate the concept of Neural Network • Contrast human perception with electronic perception. • Compare the different types of Neural Networks. • Classify Neural Networks. Skills This module will call for the successful student to demonstrate: • Implement Neural Networks concepts to solve problems. • Use Neural Networks tools to design, train the network. • Build different Neural Networks applications such as OCR (Optical Character Recognition), forecasting … etc. SYLLABUS • Introduction. • Classification. • Simple Perception. • Adeline Network. • Unsupervised Learning Network. • Association & Auto association TEACHING/LEARNING STRATEGIES • Weekly lectures to introduce the basic concepts of the course subjects. • Weekly tutorials to discuss the solution of the weekly homework assignments. • Weekly computer laboratory to use readymade software to apply the concepts of Neural Networks to solving problems. • Class presentations the student will be assigned a specific subject to investigate in depth and make in class presentation. Assessment Scheme • Unseen Examinations 60 % • Coursework 40% Learning materials Elements of Artificial Neural Networks by Kishan Mehrotra, Chilukuri K. Mohan, and Sanjay Ranka, MIT Press, 1996

Aims The main objective of this module is to introduce important concepts of modern operating systems including processes, concurrent processes, inter-process communication, synchronization, process scheduling and deadlocks, memory management, swapping, paging, segmentation and virtual memory. Also file systems and its implementation besides the input-output systems and mass storage structure. Learning outcomes Knowledge On completion of this module, the successful student will be able to: • Demonstrate the structure and functions of an operating system. (1) • Illustrate the methods of process management, CPU scheduling and process synchronization. (2) • Characterize what are deadlocks and how they are handled. (3) • Describe memory organization and explain memory management techniques. (4) • Compare between different operating systems. (5) Skills This module will call for the successful student to: • Expertly use any operating system environment. (6) • Create any operating system component. (7) • Solve some of the common operating systems problems such as: deadlock, synchronization…etc. (8) Syllabus • Operating-System Structures. • Process Management. • CPU Scheduling. • Process Synchronization. • Deadlocks. • Memory Management. • Virtual Memory. • File System interface. • File System Implementation. • Mass Storage Structure. • I/O Systems. TEACHING/LEARNING STRATEGIES • Weekly lectures to introduce the basic concepts of the course subjects. • Weekly computer laboratory to use readymade software to apply the concepts of Neural Networks to solving problems. • Class presentations the student will be assigned a specific subject to investigate in depth and make in class presentation. Assessment Scheme • Unseen Examinations 60 % • Coursework 40% Learning materials • Operating Systems Concepts, 8th ed. Abraham Silberschatz, Peter Bear, Galvin Greg Gagne, John Wiley & Sons, 2008.

This course aims to provide junior dental students with the learning opportunities to become competent at Generating an appropriate radiographic examination request based on patient’s history & clinical presentation. Executing successfully and efficiently the radiographic examination on a patient and formulating a complete radiographic report. Identify radiographically different diseases that involve teeth and their supporting structures. Applying the fundamental principles of the radiographic description of lesions, interpretation, and differential diagnosis in writing. Enabling them to achieve a self-directed problem-solving approach, designed to enhance their critical thinking and decision-making abilities when faced with radiographic lesions.

Overall Aims of the Course

This course aims at introducing the students to research in terms of concepts, processes and applications.  

Intended Learning Outcomes

By the end of this course, the students should be able to:

Knowledge and Understanding

-       Understand the fundamental structure of research

-       Understand steps in the methodical processes  that lead to valid and reliable results

 Intellectual Skills

-       Select and define appropriate research problem and parameters

-       Read and select appropriate literature

-       Prepare a research proposal

-       Interpret data

-       Conduct research on a particular subject

 Practical Skills

-          Collect data on a chosen research topic

-          Design a step by step framework for the conduction of research

-          Analyze data statistically and non-statistically

    General and Transferable Skills

-       Apply the concepts and skills gained in this course to increase their awareness of English as a language whilst using it in their future academic studies as well as career